activity
20162026
most citedSyntactic and Semantic Features For Code-Switching Factored Language Models

70 citations · 190 across the 32 of their papers we have counts for

collaborators

38 papers

cs.HC2026

Perceived System Predictability: Scale Development and Application

Hendrik Schuff, Heike Adel, Ngoc Thang Vu

How predictable users perceive an interactive system to be shapes how they interpret, trust, and rely on it, yet HCI lacks both a precise conceptualization and a validated instrume…

cs.LG2023

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training

Mingyang Wang, Heike Adel, Lukas Lange +2

Most languages of the world pose low-resource challenges to natural language processing models. With multilingual training, knowledge can be shared among languages. However, not al…

cs.CL2023

Neighboring Words Affect Human Interpretation of Saliency Explanations

Alon Jacovi, Hendrik Schuff, Heike Adel +2

Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such…

cs.CL2023★ 13 cited

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis

Mingyang Wang, Heike Adel, Lukas Lange +2

This paper describes our system developed for the SemEval-2023 Task 12 "Sentiment Analysis for Low-resource African Languages using Twitter Dataset". Sentiment analysis is one of t…

cs.CL2023★ 2 cited

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains

Koustava Goswami, Lukas Lange, Jun Araki +1

Prompting pre-trained language models leads to promising results across natural language processing tasks but is less effective when applied in low-resource domains, due to the dom…

cs.CL2022★ 2 cited

Challenges in Explanation Quality Evaluation

Hendrik Schuff, Heike Adel, Peng Qi +1

While much research focused on producing explanations, it is still unclear how the produced explanations' quality can be evaluated in a meaningful way. Today's predominant approach…